2025-12-16

NumPy Basics for Deep Learning: +, -, *, /, **, Comparisons, sum/mean/max/min, and axis

A detailed guide to NumPy’s core operations—element‑wise arithmetic, comparisons, aggregation functions, and the `axis` concept—framed from a deep‑learning perspective. Learn how to apply these building blocks to compute loss, accuracy, and data statistics in PyTorch and NumPy with practical examples.